Volume 20, Issue 1 (3-2023)
jor 2023, 20(1): 139-155 |
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Jabarpour E. A Neutrosophic Fuzzy Programming Method to Solve a Facility Layout Problem under Uncertainty. jor 2023; 20 (1) :139-155
URL: http://jamlu.liau.ac.ir/article-1-2121-en.html
URL: http://jamlu.liau.ac.ir/article-1-2121-en.html
Department of Industrial Management, Faculty of management, University of Tehran, Tehran, Iran
Abstract: (4410 Views)
Facility layout problem deals with the arrangement of departments in the work area. Due to the variety of layout issues, many researches have been done in this field. Most of the studies conducted in this field have been associated with the assumption that the parameters are known and certain. However, in today's business environment where uncertainty is an integral part of them, this assumption does not seem very logical. Therefore, in this article, taking into consideration this issue, modeling of a multi-objective robust facility layout problem, taking into account the uncertainty in the cost and transmission flow parameters has been addressed. The goals include minimizing the cost of equipment deployment and transfer and maximizing the level of equipment use in each department. The fuzzy robust programming method is used to control non-deterministic parameters. Since the facility layout problem and assigning departments to each part of the hall is a complex problem, the Neutrosophic fuzzy method has been used to solve the problem. Finally, by solving a numerical example, the effectiveness of the Neutrosophic fuzzy method and sensitivity analysis on the parameters have been investigated.
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